Data warehouses, data lakes, and lakehouse architectures create new opportunities for analytics and AI, but their usefulness depends on access to the data the business runs on. This paper examines the challenges of connecting mainframe systems to modern data platforms, including data silos, quality, scalability, and governance.
Explore practical priorities for building a modern data strategy and the role of automation in simplifying integration. Learn how PropelZ supports mainframe data delivery to platforms such as Snowflake and Databricks, helping teams extend their analytics capabilities across hybrid environments.
